1,721,635 research outputs found
AC and phase sensing of nanowires for biosensing
No full textData supporting the paper "Crescentini, Marco, Rossi, Michele, Ashburn, Peter, Lombardini, Marta, Sangiorgi, Enrico, Morgan, Hywel and Tartagni, Marco (2016) AC and phase sensing of nanowires for biosensing. Biosensors, 6, (2), 1-14. (doi:10.3390/bios6020015)"</span
IL “SILENZIO” INTORNO AL COMPENSO E IL DOVERE DI PARLARE DELL’AMMINISTRATORE DI SOCIETÀ DI CAPITALI
No full textThe essay examines a specific situation, defined “silence,” related to directors’ remunera- tion in Italian “corporations”. This situation occurs when neither the company’s memo- randum of association nor the shareholders’ meeting determines whether remuneration is due for managing the company’s business and, at the same time, the director does not request payment, for a long time, during his or her term of office. Given the presumption of remuneration for the office of director, this article identifies the cases and conditions under which the right to remuneration may be considered waived
I processi di acculturazione dei migranti forzati tra comunità ospitanti, comunità etniche e comunità virtuali [Acculturation processes of forced migrants within host, ethnic and virtual communities. A review of the literature]
No full textThe goal of the review was to analyze the acculturation processes of forced migrants considering the role recognized by the psychological and social literature of the last 20 years to dif ferent kind of Community (host, ethnic and virtual community). The 102 articles have been systematically analyzed according to the emerging issues and community actors involved in the various stages of migration (crisis, displacement, flight, arrival, early settlement, settlement, establishing). Results have shown that the scientific debate focused on maximum part on the traumatizing aspects of the migration, neglecting the idiosyncratic characteristics and aspects of symbolic identity which migrants are bearer
Fondamenti di economia aziendale. Teoria e pratica contabile per la gestione dell'impresa
No full textQuesta monografia propone una visione dei principi di economia aziendale attraverso un approccio progressivo logico-deduttivo di tutte le fasi che interessano la gestione amministrativa e finanziaria dell’azienda.
In particolare esplora il sistema contabile aziendale attraverso la metafora dell'effetto specchio, proponendo una nuova visione della logica di "dare" e "avere". La dicotomia tra sistema contabile e azienda, pur operando come entità distinte, rappresentano in realtà un'unica entità fisica: l'azienda stessa, riflessa attraverso i suoi conti.
Il concetto dell’effetto specchio illustra come ogni movimento contabile, o partita, debba avere una contropartita che bilancia l'operazione contabile, facilitando un metodo logico e razionale finalizzato alla gestione della contabilità. Questo approccio semplifica l'apprendimento e l'applicazione della partita doppia, consentendo agli utenti di gestire in autonomia le singole operazioni contabili.
Inoltre, la monografia prende in esame tutti gli aspetti che interessano la gestione finanziaria aziendale, evidenziando come la strutturazione logica e intuitiva possa aiutare a navigare nelle complessità del reporting finanziario e contabile, promuovendo una maggiore trasparenza e comprensione delle operazioni aziendali.
Attraverso esempi pratici e un'esposizione chiara, la monografia non solo approfondisce le basi teoriche ma fornisce anche strumenti pratici per l'applicazione quotidiana dei principi di economia aziendale rendendo questo lavoro un contributo prezioso per studenti, imprenditori e professionisti che si confrontano quotidianamente con le problematiche della gestione aziendale sia di natura contabile che finanziaria
Analysis and Heuristics for the Characterization of Selective Repeat ARQ Delay Statistics over Wireless Channels
No full textIn this paper, we consider a point-to-point wireless transmission where link layer ARQ is used to counteract channel impairments. In particular, we refer, as an example, to a 3G cellular system, where a dedicated channel is used between a mobile terminal and its serving base station. Our aim is to find accurate and fast heuristics for the characterization of link layer and higher level (e.g., application level) packet delay. Existing methods to obtain such statistics are often based on recursive computations or large-sized matrix manipulations. For these reasons, they are too complex to be successfully applied in a mobile terminal due to memory, delay, and energy constraints. In this paper, we first present an analytical framework to compute link-layer packet delivery delay statistics as a function of the packet error rate; then we extend the model in order to find the statistics related to higher level packets (i.e., to aggregates of link layer packets). Both in-order and out-of-order delivery of link-layer packets to higher levels are considered. The goodness of the channel model considered in the analysis is proved by means of accurate channel simulation results. The obtained statistics are then characterized by highlighting their properties as a function of the round-trip time and the error rate at the link layer. Finally, fast and accurate heuristics are derived directly from the analysis. These heuristics are very simple (piecewise linear functions), so they can be effectively used in a mobile terminal to obtain accurate delay statistics estimates with little computational effort
Real-Time People Tracking and Identification From Sparse mm-Wave Radar Point-Clouds
Full text linkMm-wave radars have recently gathered significant attention as a means to track human movement and identify subjects from their gait characteristics. A widely adopted method to perform the identification is the extraction of the micro-Doppler signature of the targets, which is computationally demanding in case of co-existing multiple targets within the monitored physical space. Such computational complexity is the main problem of state-of-the-art approaches, and makes them inapt for real-time use. In this work, we present an end-to-end, low-complexity but highly accurate method to track and identify multiple subjects in real-time using the sparse point-cloud sequences obtained from a low-cost mm-wave radar. Our proposed system features an extended object tracking Kalman filter, used to estimate the position, shape and extension of the subjects, which is integrated with a novel deep learning classifier, specifically tailored for effective feature extraction and fast inference on radar point-clouds. The proposed method is thoroughly evaluated on an edge-computing platform from NVIDIA (Jetson series), obtaining greatly reduced execution times (reduced complexity) against the best approaches from the literature. Specifically, it achieves accuracies as high as 91.62%, operating at 15 frames per seconds, in identifying three subjects that concurrently and freely move in an unseen indoor environment, among a group of eight
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